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[PR #1543] [CLOSED] Add solution for streaming tokens from LangGraph nodes (fixes #1539) #1634

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opened 2026-02-17 17:22:34 -05:00 by yindo · 0 comments
yindo commented 2026-02-17 17:22:34 -05:00
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📋 Pull Request Information

Original PR: https://github.com/langchain-ai/docs/pull/1543
Author: @saikumarvasa100-hash
Created: 11/20/2025
Status: ❌ Closed

Base: main ← Head: fix/issue-1539-streaming-tokens

📝 Commits (6)

  • 5ec2ee9 Add solution for streaming tokens from LangGraph nodes (fixes #1539)
  • a24b7c0 Merge branch 'main' into fix/issue-1539-streaming-tokens
  • 9f9888a Merge branch 'main' into fix/issue-1539-streaming-tokens
  • bdb97dc Merge branch 'main' into fix/issue-1539-streaming-tokens
  • 277088f Merge branch 'main' into fix/issue-1539-streaming-tokens
  • 3fde99d Merge branch 'main' into fix/issue-1539-streaming-tokens

📊 Changes

1 file changed (+126 additions, -0 deletions)

View changed files

➕ src/oss/langgraph/streaming-tokens-example.md (+126 -0)

📄 Description

Summary

This PR addresses issue #1539 by providing comprehensive documentation on how to stream individual tokens from LLM calls within LangGraph nodes.

Type of change

  • New documentation page
  • Update existing documentation

Related issues/PRs

Closes #1539

Description

Added a new documentation file streaming-tokens-example.md that provides:

Two Main Approaches:

  1. Using stream_mode="messages" - The simplest way to get token-by-token streaming
  2. Using astream_events - For more detailed control with event filtering

Key Features:

  • Complete working code examples
  • Proper usage of config: RunnableConfig parameter in node functions
  • Metadata filtering techniques
  • References to official documentation
  • Related GitHub issues for further context

Testing

The provided code examples follow the official LangChain/LangGraph patterns and are based on:

Checklist

  • Documentation follows the repository style guidelines
  • Includes working code examples
  • References to official documentation provided
  • Issue number included in commit message and PR title

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/langchain-ai/docs/pull/1543 **Author:** [@saikumarvasa100-hash](https://github.com/saikumarvasa100-hash) **Created:** 11/20/2025 **Status:** ❌ Closed **Base:** `main` ← **Head:** `fix/issue-1539-streaming-tokens` --- ### 📝 Commits (6) - [`5ec2ee9`](https://github.com/langchain-ai/docs/commit/5ec2ee90e41692796e8bf604ed9cba22236481fe) Add solution for streaming tokens from LangGraph nodes (fixes #1539) - [`a24b7c0`](https://github.com/langchain-ai/docs/commit/a24b7c03182b17906912a16c388527fe7d1a8134) Merge branch 'main' into fix/issue-1539-streaming-tokens - [`9f9888a`](https://github.com/langchain-ai/docs/commit/9f9888aa27833cf5ccbe8ebd88490469400853cc) Merge branch 'main' into fix/issue-1539-streaming-tokens - [`bdb97dc`](https://github.com/langchain-ai/docs/commit/bdb97dc64337bf387ab13f021ed67ac0ff506323) Merge branch 'main' into fix/issue-1539-streaming-tokens - [`277088f`](https://github.com/langchain-ai/docs/commit/277088fa8dd2b6a57820478b51a8f344ed4c8e33) Merge branch 'main' into fix/issue-1539-streaming-tokens - [`3fde99d`](https://github.com/langchain-ai/docs/commit/3fde99d2de8d92c25b6d58f27aeb5a1beeb489d9) Merge branch 'main' into fix/issue-1539-streaming-tokens ### 📊 Changes **1 file changed** (+126 additions, -0 deletions) <details> <summary>View changed files</summary> ➕ `src/oss/langgraph/streaming-tokens-example.md` (+126 -0) </details> ### 📄 Description ## Summary This PR addresses issue #1539 by providing comprehensive documentation on how to stream individual tokens from LLM calls within LangGraph nodes. ## Type of change - [x] New documentation page - [x] Update existing documentation ## Related issues/PRs Closes #1539 ## Description Added a new documentation file `streaming-tokens-example.md` that provides: ### Two Main Approaches: 1. **Using `stream_mode="messages"`** - The simplest way to get token-by-token streaming 2. **Using `astream_events`** - For more detailed control with event filtering ### Key Features: - Complete working code examples - Proper usage of `config: RunnableConfig` parameter in node functions - Metadata filtering techniques - References to official documentation - Related GitHub issues for further context ## Testing The provided code examples follow the official LangChain/LangGraph patterns and are based on: - [Official LangGraph Streaming Documentation](https://docs.langchain.com/oss/python/langgraph/streaming) - [GitHub Issue #137](https://github.com/langchain-ai/langgraph/issues/137) - [GitHub Discussion #533](https://github.com/langchain-ai/langgraph/discussions/533) ## Checklist - [x] Documentation follows the repository style guidelines - [x] Includes working code examples - [x] References to official documentation provided - [x] Issue number included in commit message and PR title --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
yindo added the pull-request label 2026-02-17 17:22:34 -05:00
yindo closed this issue 2026-02-17 17:22:34 -05:00
yindo changed title from [PR #1543] Add solution for streaming tokens from LangGraph nodes (fixes #1539) to [PR #1543] [CLOSED] Add solution for streaming tokens from LangGraph nodes (fixes #1539) 2026-06-05 18:14:02 -04:00
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Reference: langchain-ai/docs#1634
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